Artur Podobas

783 total citations
35 papers, 334 citations indexed

About

Artur Podobas is a scholar working on Hardware and Architecture, Computer Networks and Communications and Electrical and Electronic Engineering. According to data from OpenAlex, Artur Podobas has authored 35 papers receiving a total of 334 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Hardware and Architecture, 20 papers in Computer Networks and Communications and 11 papers in Electrical and Electronic Engineering. Recurrent topics in Artur Podobas's work include Parallel Computing and Optimization Techniques (24 papers), Embedded Systems Design Techniques (14 papers) and Interconnection Networks and Systems (10 papers). Artur Podobas is often cited by papers focused on Parallel Computing and Optimization Techniques (24 papers), Embedded Systems Design Techniques (14 papers) and Interconnection Networks and Systems (10 papers). Artur Podobas collaborates with scholars based in Sweden, Japan and Germany. Artur Podobas's co-authors include Satoshi Matsuoka, Kentaro Sano, Mats Brorsson, Stefano Markidis, N. Arul Murugan, Davide Gadioli, Niclas Jansson, Gianluca Palermo, Philipp Schlatter and Satoshi Matsuoka and has published in prestigious journals such as IEEE Access, Computers & Fluids and ACM SIGPLAN Notices.

In The Last Decade

Artur Podobas

32 papers receiving 323 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Artur Podobas Sweden	11	206	166	77	59	39	35	334
Sain-Zee Ueng United States	6	269 1.3×	228 1.4×	36 0.5×	29 0.5×	54 1.4×	10	374
Sachin Patkar India	10	93 0.5×	73 0.4×	113 1.5×	69 1.2×	47 1.2×	53	288
Mayank Daga United States	11	309 1.5×	287 1.7×	46 0.6×	39 0.7×	58 1.5×	16	423
Vasileios Karakasis Greece	11	270 1.3×	249 1.5×	37 0.5×	69 1.2×	72 1.8×	20	394
Hasitha Muthumala Waidyasooriya Japan	10	126 0.6×	86 0.5×	75 1.0×	28 0.5×	135 3.5×	42	303
Juan M. Cebrián Spain	10	159 0.8×	182 1.1×	104 1.4×	14 0.2×	42 1.1×	42	302
Takahiro Katagiri Japan	10	168 0.8×	155 0.9×	14 0.2×	67 1.1×	45 1.2×	63	302
R. Biswas United States	11	222 1.1×	311 1.9×	50 0.6×	29 0.5×	61 1.6×	32	434
B. Flachs United States	11	368 1.8×	306 1.8×	234 3.0×	34 0.6×	38 1.0×	17	559

Countries citing papers authored by Artur Podobas

Since Specialization

Citations

This map shows the geographic impact of Artur Podobas's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Artur Podobas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Artur Podobas more than expected).

Fields of papers citing papers by Artur Podobas

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Artur Podobas. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Artur Podobas. The network helps show where Artur Podobas may publish in the future.

Co-authorship network of co-authors of Artur Podobas

This figure shows the co-authorship network connecting the top 25 collaborators of Artur Podobas. A scholar is included among the top collaborators of Artur Podobas based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Artur Podobas. Artur Podobas is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Podobas, Artur, et al.. (2025). IzhiRISC-V - a RISC-V-based Processor with Custom ISA Extension for Spiking Neuron Networks Processing with Izhikevich Neurons. 1667–1675.

Lindqvist, Björn & Artur Podobas. (2024). Algorithms for Fast Spiking Neural Network Simulation on FPGAs. IEEE Access. 12. 150334–150353.

Domke, Jens, Balazs Gerofi, Yuetsu Kodama, et al.. (2023). At the Locus of Performance: Quantifying the Effects of Copious 3D-Stacked Cache on HPC Workloads. ACM Transactions on Architecture and Code Optimization. 20(4). 1–26. 1 indexed citations

Sozzo, Emanuele Del, et al.. (2023). Less for More: Reducing Intra-CGRA Connectivity for Higher Performance and Efficiency in HPC. 452–459. 2 indexed citations

Murugan, N. Arul, et al.. (2022). A Review on Parallel Virtual Screening Softwares for High-Performance Computers. Pharmaceuticals. 15(1). 63–63. 38 indexed citations

Podobas, Artur, et al.. (2022). Exploration Framework for Synthesizable CGRAs Targeting HPC: Initial Design and Evaluation. 639–646. 5 indexed citations

Podobas, Artur, et al.. (2022). The Cost of Flexibility: Embedded versus Discrete Routers in CGRAs for HPC. 347–356. 11 indexed citations

Jansson, Niclas, et al.. (2022). Reducing communication in the conjugate gradient method. 1–11. 3 indexed citations

Domke, Jens, Aleksandr Drozd, Peng Chen, et al.. (2021). Matrix Engines for High Performance Computing: A Paragon of Performance or Grasping at Straws?. 1056–1065. 15 indexed citations

10.

Liu, Felix, Niclas Jansson, Artur Podobas, Albin Fredriksson, & Stefano Markidis. (2021). Accelerating Radiation Therapy Dose Calculation with Nvidia GPUs. 449–458. 4 indexed citations

11.

Podobas, Artur, Kentaro Sano, & Satoshi Matsuoka. (2020). A Template-based Framework for Exploring Coarse-Grained Reconfigurable Architectures. 1–8. 19 indexed citations

12.

Podobas, Artur, Kentaro Sano, & Satoshi Matsuoka. (2020). A Survey on Coarse-Grained Reconfigurable Architectures From a Performance Perspective. IEEE Access. 8. 146719–146743. 78 indexed citations

13.

Podobas, Artur, et al.. (2019). Scaling Performance for N-Body Stream Computation with a Ring of FPGAs. 1–6. 7 indexed citations

14.

Domke, Jens, et al.. (2019). Double-Precision FPUs in High-Performance Computing: An Embarrassment of Riches?. 78–88. 11 indexed citations

15.

Podobas, Artur, et al.. (2017). Evaluating high-level design strategies on FPGAs for high-performance computing. 1–4. 6 indexed citations

16.

Podobas, Artur, et al.. (2017). Evaluating high-level design strategies on FPGAs for high-performance computing. 1–4. 4 indexed citations

17.

Podobas, Artur. (2014). Accelerating Parallel Computations with OpenMP-Driven System-on-Chip Generation for FPGAs. KTH Publication Database DiVA (KTH Royal Institute of Technology). 50. 149–156. 6 indexed citations

18.

Podobas, Artur, et al.. (2013). A comparative performance study of common and popular task‐centric programming frameworks. Concurrency and Computation Practice and Experience. 27(1). 1–28. 12 indexed citations

19.

Podobas, Artur & Mats Brorsson. (2010). Cool-Cores : Thermal-aware Task Scheduling for OpenMP. KTH Publication Database DiVA (KTH Royal Institute of Technology). 1 indexed citations

20.

Podobas, Artur, et al.. (2010). A Comparison of some recent Task-based Parallel Programming Models. KTH Publication Database DiVA (KTH Royal Institute of Technology). 23 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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